不确定云环境下基于滚动窗口的节能调度

目前，绿色云计算已经成为工业界和学术界的研究热点. 然而，以往的绿色节能调度研究忽略了虚拟机性能的不确定因素，使得调度效果与实际情况相差甚远. 本文提出一种基于滚动窗口的节能调度算法（ERRHU），用于动态调度不确定云环境中的实时任务，同时根据系统的负载动态伸缩系统的计算资源以减少系统的能量消耗. 本文通过大量的模拟实验比较ERRHU与其他算法的性能.

Energy-aware scheduling by rolling-horizon in uncertain cloud

Green cloud computing has become a major study concern in both industry and academia. However, the uncertainty of virtual machines' performance has been overlooked in traditional work, thus leaving a large gap between the result and practice of scheduling. In this paper, we propose a novel scheduling algorithm named energy-efficient scheduling for real-time tasks by rolling-horizon in uncertain cloud (ERRHU). It aims at scheduling real-time tasks to virtual machines (VMs), as well as scaling up and down the computing resources according to the system workload to reduce energy consumption. We conduct extensive experiments to compare ERRHU with prior algorithms.